Applied Meta-Analysis with R and Stata

Statistical Meta-Analysis with R and Stata, Second Edition is a comprehensive guide to statistical meta-analyses using R/Stata. It provides step-by-step implementations with real-world examples, covering fixed-effects, random-effects, meta-regression, rare-event analysis, and more. Suitable for both beginners and experienced practitioners, the book is a valuable resource for public health, medical research, and industry professionals.

Format: Paperback / softback
Length: 424 pages
Publication date: 26 September 2022
Publisher: Taylor & Francis Ltd

The authors of Statistical Meta-Analysis with R and Stata, Second Edition, have crafted a comprehensive guide that offers a thorough exploration of statistical meta-analyses (MA) through step-by-step implementations using R/Stata. This text is designed to be accessible to biologists, physicians, and other professionals who may lack advanced mathematics backgrounds, making it a valuable self-learning resource.

In contrast to many other textbooks, R is not introduced with meaningless toy examples. Instead, the reader is guided by the hand and presented with direct examples of analyses, graphics, and simulations that are relevant to meta-analysis. This approach ensures that the reader gains a practical understanding of the subject matter without being bogged down by theorems and proofs.

The book is structured into chapters, each dedicated to a specific aspect of statistical meta-analysis. The authors begin by presenting real-world examples of studies drawn from the literature, providing the necessary background information to facilitate a deeper understanding of the applications. Subsequently, various methods for analyzing meta-data are introduced, encompassing fixed-effects and random-effects MA, meta-regression, MA with rare-event data, and MA-IPD vs MA-SS. The authors then develop analysis code using the appropriate R/Stata packages and functions, allowing readers to apply these techniques to their own meta-data.

One of the notable features of the Second Edition is the inclusion of Stata programs alongside the R programs for meta-analysis. This addition provides readers with a broader. comprehensive resource that covers both software packages, enabling them to choose the approach that best suits their needs and preferences. Furthermore, the book has been updated to reflect the latest developments in statistical meta-analysis, including the use of R/Stata programs for all the statistical meta-analyses presented.

In addition to its coverage of statistical methods, the Second Edition also includes five new chapters that delve into various aspects of multivariate MA, publication bias, missing data in MA, MA in evaluating health interventions, and Bayesian meta-analysis. These chapters provide readers with a deeper understanding of the complexities involved in conducting meta-analyses and offer practical insights into addressing common challenges encountered in this field.

Overall, Statistical Meta-Analysis with R and Stata, Second Edition, is a highly recommended text for practitioners who seek to familiarize themselves with the fundamentals of statistical meta-analysis and embark on their research journey without the need for extensive mathematical expertise. The book's clear and concise writing style, coupled with its step-by-step implementations and real-world examples, makes it an invaluable resource for researchers, students, and professionals in the fields of biomedicine, health sciences, and social sciences.

Weight: 692g
Dimension: 156 x 235 x 29 (mm)
ISBN-13: 9780367709341
Edition number: 2 ed